Project Grant 2535132
- This $337,422 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a novel "neuron-to-neuron interface" that can transmit signals between individual neurons in the brains of two zebrafish larvae. The researchers at the University of Illinois seek to create a system that allows synchronized behavioral outputs in both a "sender" and "receiver" fish by transmitting neural signals optically between their...
- This $2,000,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to Northwestern University. The goal of the project is to develop electronic devices that emulate the cerebellar functions of the brain, such as anomaly detection, to enable more robust and energy-efficient systems in applications like cybersecurity, autonomous robotics, and power-delivery control. The research combines expertise from theoretical...
- This $200,000 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to establish a closed-loop hybrid intelligence (HI) framework that connects biological and physical computing systems. The research project will co-design high-resolution optoelectronic neuromodulation and neuromorphic hardware to enable closed-loop interfacing with cultured neurons and organoids. The HI system will showcase the power of optogenetic-neuromorphic co-design for...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $319,999 to the University of Notre Dame to develop an implantable neural interface platform with three key innovations: 1) optimized resistive RAM memory for efficient data storage, 2) programmable analog front-end circuits for high-density neural signal acquisition, and 3) specialized processors for energy-efficient computation of neural network operations. The goal is to create an...
- The National Science Foundation (NSF) has awarded a $330,000 Project Grant under the Engineering program (CFDA 47.041) to Yale University. The "NeroFlex" project aims to develop an advanced implantable neural interface platform that integrates optimized resistive RAM memory, programmable analog front-end circuits, and specialized processors for efficient brain data acquisition and computational processing. The research plan encompasses device fabrication, mixed-signal circuit design,...
- This $400,000 Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports the development of a new hardware system designed to meet the increasing computational demands for sophisticated multi-scale brain models. The project aims to bridge the timescales between cognitive phenomena and the underlying neuronal processes, enabling more detailed computer simulations to advance fundamental neuroscience research and the translation of biological...
- This National Science Foundation (NSF) Engineering Program (CFDA 47.041) $550,000 CAREER grant award to New York University (NYU) aims to develop innovative wireless neural interface systems that can enable high-resolution neural recording, wireless power transfer, and high-bandwidth communication. The project, titled "NEUROTAP: Chip-Scale High-Resolution Neural Recording with Wireless Communication and Powering", seeks to tackle key challenges in scalable brain-machine interface...
- This $1,400,000.00 Project Grant award, funded by the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083), supports the development of BrainScan - a highly programmable neural interface that enables direct real-time bidirectional communication between biological neurons in the brain and the digital world. The centerpiece of BrainScan is the BrainCore chip, which is designed for superior energy efficiency in neural interfacing. The project aims to develop both the...
- The National Science Foundation (NSF) awarded a $2,000,000 Project Grant under the Engineering program (CFDA 47.041) to the University of California, Irvine to develop and assess the feasibility of 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The objectives are to establish methods to fabricate robust, reliable, and reproducible 3DNNs, and to develop core principles to program them with intelligent behavior. This research aims to demonstrate...
- The National Science Foundation awarded a $332,000 Project Grant to the University of Washington under the Engineering federal grant program (CFDA 47.041) for research titled "EAGER: BIDIRECTIONAL BODY-BRAIN-MACHINE INTERFACE (B3MI) FOR CONTROL OF COMPLEX DYNAMICS." The two-year project beginning January 1, 2022 will support the University's research developing bidirectional body-brain-machine interfaces to control complex dynamic systems. The NSF Engineering program aims to improve...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $3,000,000.00 in funding to Northwestern University to explore a new approach to connecting brain cells to machines through a "TRAILBLAZER" research project. The project aims to develop biocompatible, synthetic neurons that mimic real nerve behavior without using electrical current. Instead, the signal will be carried by a mechanical wave, which could lead to safer and more effective brain-machine interfaces. This research will also lay the foundation for new computing systems that emulate the brain using soft, organic materials. The project will train students in an interdisciplinary environment integrating physics, engineering, and neuroscience, while also developing K-12 educational materials for the Chicago school district. The award period runs from April 1, 2026 to March 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $3.0m | 8/20/25 |